ICPE

State-of-the-art approaches for reporting performance analysis results rely on charts providing insights on the performance of the system, often organized in dashboards. The insights are usually data-driven, i.e., not directly connected to the ...

An overview of concerns observed in allowing for reproducibility in parallel applications that heavily depend on the three dimensional distributed memory fast Fourier transform are summarized. Suggestions for reproducibility categories for benchmark ...

Predicting performance-related events is an important part of proactive fault management. As a result, many approaches exist for the context of single systems. Surprisingly, despite its potential benefits, multi-system event prediction, i.e., using data ...

Developers are usually unaware of the impact of code changes to the performance of software systems. Although developers can analyze the performance of a system by executing, for instance, a performance test to compare the performance of two consecutive ...

Many benchmarks have been proposed to measure the training/learning aspects of Artificial Intelligence systems. This is without doubt very important, because its methods are very computationally expensive, and, therefore, offering a wide variety of ...

Model-based approaches in Software Performance Engineering (SPE) are used in early design phases to evaluate performance. Most current model-based prediction approaches work quite well for single-core CPUs but are not suitable or precise enough for ...

There are nearly one hundred parallel and distributed graph processing packages. Selecting the best package for a given problem is difficult; some packages require GPUs, some are optimized for distributed or shared memory, and some require proprietary ...

The complexity of modern applications makes it hard to fix memory leaks and other heap-related problems without tool support. Yet, most state-of-the-art tools share problems that still need to be tackled: (1) They group heap objects only based on their ...

Performance evaluation is an integral part of computer architecture research. Rigorous performance evaluation is crucial in order to evaluate novel architectures, and is often carried out using benchmark suites. Each suite has a number of workloads with ...

LINE is an open source library to analyze systems that can be modeled by means of queueing theory. Recently, a new major release of the tool (version 2.0.0) has introduced several novel features, which are the focus of this demonstration. These include, ...

It is mandatory to continuously assess software systems during development and operation, e.g., through testing and monitoring, to make sure that they meet their required level of performance. In our previous work, we have developed an approach to ...

Open source Big Data frameworks such as Spark have been evolvingquite rapidly. Many of the changes have addressed improvement inperformance mainly focusing on the performance of the entire job executing on a distributed system. Past studies have ...

We present results of performing analytics and visualizations over micro-architectural performance metrics collected in simulation of high-end processor designs. These results contribute to several use-cases: Obtain fast alerts in cases of anomalous ...

In modern days security systems often reach their performance peak and limit the protected application. Utilizing the available resources for security more efficiently is becoming more critical. In this paper, we introduce the claim, that no static ...

Performance engineering researchers propose and employ various methods to analyze, model, optimize and manage the performance of modern distributed applications. In order to evaluate these methods in realistic scenarios, researchers rely on reference ...

This tutorial presents techniques for self-adaptive software systems that use performance models in order to achieve desired quality-of-service objectives. Main hindrances with the state of the art are the assumption of a steady-state regime to be able ...

The continuing growth of the cloud computing market has led to an unprecedented diversity of cloud services with different performance characteristics. To support service selection, researchers and practitioners conduct cloud performance benchmarking by ...

The successful development and marketing of commercial computer/communication systems requires the ability to quantify their performance and related metrics. Specifically, one should be able to demonstrate that projected customer requirements (QoS, QoE) ...

In this extended abstract, the author highlights the various roles as a performance engineer in the industry. Based on his experience, some of the important tasks to perform in each role is listed. Also listed along with it a set of skills to be ...

Model-based dependability analysis provides an effective manner to evaluate and design the dependability of critical IT systems by abstracting the system architecture and operations. As the size and the complexity of systems increase, however, the ...

This paper presents experiences over thirteen years of teaching a queuing systems-based performance analysis course. We discuss how a 'mathematics first' approach resulted in students not retaining the intuitive concepts of queueing theory, which ...

This talk summarizes some lessons from teaching a course in analytical performance modeling, specifically: (1) what can an analytical model offer? (2) how a model can be decomposed into submodels,so as to decouple different forces affecting performance, ...